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Supplier Delivery Evidence — Record Quality Audit + Exact Row Deduplication + IQR Outlier Flags
x402
Supplier Delivery Evidence — Record Quality Audit + Exact Row Deduplication + IQR Outlier Flags is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-16).
Audits supplier delivery evidence records for data quality issues, exact duplicate rows, and IQR-based outlier flags across deliveries and on-time delivery metrics.
Price / call$0.01
Success—
StatusUnknown
How this service works
Supplier delivery evidence — Record quality audit + Exact row deduplication + IQR outlier flags: Record quality audit + Exact row deduplication + IQR outlier flags for supplied supplier delivery evidence records (deliveries, on_time_deliveries). Up to 200 rows; 3 independent reports using shared local analytical engines. No live lookup, prediction, professional assessment or external action. 0.01 USDC includes 3 supplied-data reports for up to 200 rows.
Output
Returns three independent analytical reports: (1) a record quality audit highlighting missing, malformed, or invalid values; (2) an exact row deduplication report identifying repeated records; and (3) an IQR outlier flag report marking statistically extreme values in the selected numeric field (deliveries or on_time_deliveries). All reports are generated locally from the supplied data with no external lookups.
Example use cases
Supplier delivery audit before quarterly review
“I need to clean up our supplier delivery evidence before the quarterly review — can you run a quality audit, check for exact duplicate rows, and flag any IQR outliers in the deliveries column across all company groups for these 150 rows?”
On-time delivery data validation for reporting
“Before I submit the on-time delivery report, can you check these supplier records for data quality problems, duplicate entries, and outlier values in the on_time_deliveries field? I've got about 80 rows covering multiple company groups.”
Detecting anomalous delivery counts by group
“Can you analyze this batch of supplier delivery data and produce the three reports — record quality audit, deduplication check, and IQR outlier detection — focusing on the deliveries field? I want to spot any suspicious values before we pay our suppliers.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-company-15-220?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have up to 200 rows of supplier delivery evidence and need a combined data quality audit, deduplication check, and IQR outlier detection in a single low-cost call. It is ideal for pre-reporting validation, supplier data cleaning, or anomaly screening without requiring any external data sources or live lookups. It is not suitable for real-time streaming data, datasets larger than 200 rows, predictive analytics, or any external supplier lookup.
Side effects
- Fewer than 1 row or more than 200 rows submitted — rejected with validation error
- Invalid date format (not YYYY-MM-DD) causes row-level validation failure
- Missing required fields (row_id, company_group, date, deliveries, on_time_deliveries) cause record rejection
- Invalid field enum value (not 'deliveries' or 'on_time_deliveries') causes request failure
- Numeric values outside allowed range cause validation errors
- Insufficient payment or x402 auth failure prevents processing
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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